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@ungarj
Created March 12, 2015 03:28
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#!/usr/bin/env python
#
## Copyright (c) 2013
##
## Joachim Ungar ([email protected])
##
## Permission is hereby granted, free of charge, to any person obtaining a copy
## of this software and associated documentation files (the "Software"), to deal
## in the Software without restriction, including without limitation the rights
## to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
## copies of the Software, and to permit persons to whom the Software is furnished
## to do so, subject to the following conditions:
##
## The above copyright notice and this permission notice shall be included in all
## copies or substantial portions of the Software.
##
## THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
## IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
## FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
## AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
## LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
## OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
## SOFTWARE.
import ogr
import osr
import sys
import argparse
import numpy as np
from scipy.spatial import Voronoi, voronoi_plot_2d
import shapely
import networkx as nx
import math
import decimal
import os
def main(args):
parser = argparse.ArgumentParser()
parser.add_argument("input_shp", nargs=1, type=str)
parser.add_argument("output_shp", nargs=1, type=str)
parser.add_argument("segmentize", nargs=1, type=float)
parser.add_argument("simplify", nargs=1, type=float)
parsed = parser.parse_args(args)
input_shp = parsed.input_shp[0]
output_shp = parsed.output_shp[0]
segmentize_threshold = parsed.segmentize[0]
simplify_threshold = parsed.segmentize[0]
# read source shapefile
# ---------------------------------------------------
# Get the driver
driver = ogr.GetDriverByName('ESRI Shapefile')
# Open a shapefile
input_dataset = driver.Open(input_shp, 0)
# create the data source
if os.path.exists(output_shp):
driver.DeleteDataSource(output_shp)
target_dataset = driver.CreateDataSource(output_shp)
# create target shapefile
# ---------------------------------------------------
# create the spatial reference, WGS84
srs = osr.SpatialReference()
srs.ImportFromEPSG(4326)
# create the layer
target_layer = target_dataset.CreateLayer("regions", srs, ogr.wkbLineString)
# calculate geometry feature by feature
# ---------------------------------------------------
source_layer = input_dataset.GetLayer()
# create target layer attributes
source_layer_defn = source_layer.GetLayerDefn()
target_layer_defn = source_layer_defn
for i in range(target_layer_defn.GetFieldCount()):
target_layer.CreateField(target_layer_defn.GetFieldDefn(i))
for index in xrange(source_layer.GetFeatureCount()):
try:
source_feature = source_layer.GetFeature(index)
geometry = source_feature.GetGeometryRef()
linestring = geometry.GetGeometryRef(0)
# create target feature
target_feature = ogr.Feature(target_layer_defn)
# generalize
linestring.Simplify(simplify_threshold)
# segmentize
linestring.Segmentize(segmentize_threshold)
# extract points
points = extract_points(linestring)
# calculate voronoi
vor = Voronoi(points)
#print vor.vertices
ridge_lines = ogr.Geometry(ogr.wkbMultiLineString)
# create graph & add edge length as attribute
G = nx.Graph()
for i in vor.ridge_vertices:
if i[0]>-1 and i[1]>-1:
templine = ogr.Geometry(ogr.wkbLineString)
p1 = vor.vertices[i][0]
p2 = vor.vertices[i][1]
p1lon = p1[0]
p1lat = p1[1]
p2lon = p2[0]
p2lat = p2[1]
if point_inside_polygon(p1lon,p1lat,points) and point_inside_polygon(p2lon,p2lat,points):
# create points
point1 = ogr.Geometry(ogr.wkbPoint)
point1.AddPoint(p1lon, p1lat)
point2 = ogr.Geometry(ogr.wkbPoint)
point2.AddPoint(p2lon, p2lat)
#create ogr layer
templine.AddPoint(p1lon, p1lat)
templine.AddPoint(p2lon, p2lat)
ridge_lines.AddGeometry(templine)
# create graph
dist = point1.Distance(point2)
G.add_nodes_from([i[0], i[1]])
G.add_edge(i[0], i[1], weight=dist )
# get all end nodes
end_nodes = get_end_nodes(G)
#print end_nodes
# iterate through nodes and get shortest path
longest_path = get_longest_path(end_nodes,G,vor.vertices)
templine2 = ogr.Geometry(ogr.wkbLineString)
for i in longest_path:
templine2.AddPoint(vor.vertices[i][0], vor.vertices[i][1])
#print source_feature.GetField('name')
#print source_feature.GetFieldCount()
#feat_defn = source_layer.GetLayerDefn()
#for i in range(feat_defn.GetFieldCount()):
# field_defn = feat_defn.GetFieldDefn(i)
# print field_defn
#print templine2.ExportToWkt()
# write output to target shapefile
# ---------------------------------------------------
# Copy attributes
for i in range(source_layer_defn.GetFieldCount()):
target_feature.SetField(source_layer_defn.GetFieldDefn(i).GetName(), source_feature.GetField(i))
# get WKT
target_line = ogr.CreateGeometryFromWkt(templine2.ExportToWkt())
# Set the feature geometry using the line
target_feature.SetGeometry(target_line)
# Create the feature in the layer (shapefile)
target_layer.CreateFeature(target_feature)
# Destroy the feature to free resources
target_feature.Destroy()
# go through paths and get angle penalty
#for i in path1:
#print vor.vertices[i-1]
#print vor.vertices[i]
#print vor.vertices[i+1]
#angle = math.sqrt((vor.vertices[i-1][0] - vor.vertices[i+1][0])**2 + (vor.vertices[i-1][0] - vor.vertices[i+1][0])**2)
#print str(angle)
# multiply each path with angle penalty
#print pointlayer.ExportToWkt()
#print ridge_lines.ExportToWkt()
except Exception,e: print str(e)
# clean up
# ---------------------------------------------------
target_dataset.Destroy()
def get_end_nodes(graph):
nodelist = []
for i in graph.nodes_iter():
if len(graph.neighbors(i))==1:
nodelist.append(i)
return nodelist
def get_longest_path(nodes,graph,vertices):
paths = []
distances = []
for node1 in nodes:
for node2 in nodes:
path = nx.shortest_path(graph,node1,node2,"weight")
if len(path)>1:
distance = get_path_distance(path,graph)
#print get_angle_penalty(path,vertices)
paths.append(path)
distances.append(distance)
paths_sorted = [x for (y,x) in sorted(zip(distances,paths),reverse=True)]
longest_path = paths_sorted[0]
return longest_path
def get_path_distance(path,graph):
distance = 0
for i,w in enumerate(path):
j=i+1
if j<len(path):
distance = distance + round(graph.edge[path[i]][path[j]]["weight"],6)
return distance
def get_angle_penalty(path,vertices):
penalty = 0
#print path
for i,w in enumerate(path):
if i>0:
j=i+1
h=i-1
#print "%s, %s, %s" %(path[h], path[i], path[j])
if j<len(path):
p1=vertices[path[i]]+180
p2=vertices[path[j]]+180
p3=vertices[path[h]]+180
#print "%s, %s, %s" %(p1, p2, p3)
#B^2-A^2-C^2) / 2AC )
v12 = round(math.sqrt((p1[0] - p2[0])**2 + (p1[1] - p2[1])**2), 6)
v13 = round(math.sqrt((p1[0] - p3[0])**2 + (p1[1] - p3[1])**2), 6)
v23 = round(math.sqrt((p2[0] - p3[0])**2 + (p2[1] - p3[1])**2), 6)
angle = round(math.acos((v12**2 + v13**2 - v23**2)/(2 * v12 * v13)), 6)
#print angle
#penalty=(1-(180-angle)/180)
#penalty = penalty + angle
#print penalty
return penalty
def extract_points(inputline):
pointsX = []; pointsY = [];
points = np.array([[0,0]]);
numpoints = inputline.GetPointCount()
for p in range(numpoints):
lon, lat, z = inputline.GetPoint(p)
pointsX.append(lon)
pointsY.append(lat)
points_temp = [lon, lat]
points_old = points
points = np.vstack((points_old,points_temp))
return points
# from http://www.ariel.com.au/a/python-point-int-poly.html
def point_inside_polygon(x,y,poly):
n = len(poly)
inside =False
p1x,p1y = poly[0]
for i in range(n+1):
p2x,p2y = poly[i % n]
if y > min(p1y,p2y):
if y <= max(p1y,p2y):
if x <= max(p1x,p2x):
if p1y != p2y:
xinters = (y-p1y)*(p2x-p1x)/(p2y-p1y)+p1x
if p1x == p2x or x <= xinters:
inside = not inside
p1x,p1y = p2x,p2y
return inside
if __name__ == "__main__":
main(sys.argv[1:])
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